Hugging Face
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Hugging Face Embedding Container for Amazon SageMaker Now Generally Available
New container allows easy deployment of open embedding models on SageMaker, improving efficiency for Generative AI applications.
Hugging Face Transformers Documentation Revamped for AI Developers
The Hugging Face team has overhauled its Transformers documentation to cater to a new audience of developers, prioritizing code ex
Hugging Face Introduces RLOO Trainer for More Efficient RLHF Training
The new RLOO Trainer reduces GPU memory usage by 50-70% compared to PPO, enabling researchers to train larger models with less com
Hugging Face Accelerate Harmonizes DeepSpeed and PyTorch FSDP for Seamless Model Training
Learn how Hugging Face Accelerate's recent experiment addresses differing outcomes between DeepSpeed and PyTorch FSDP, enabling us
Hugging Face Introduces New Filters for Dataset Search Tool
The AI and ML community's central platform, Hugging Face, enhances its Dataset Search tool with four new features for improved dat
Google Cloud and Hugging Face Partnership Boosts AI Accessibility with TPU Support
The collaboration aims to make open-source AI more accessible on Google Cloud, reducing model download times, offering native TPU
Building a Technical Chatbot with Distilabel: A Step-by-Step Guide
Learn how to create a chatbot that understands technical documentation using Distilabel and fine-tune custom embedding models. Dep
Hugging Face Enhances Security for AI Models in Adult Industry with New Features
Learn about Hugging Face's new security features, including fine-grained tokens, two-factor authentication, and automated scanning
Exploring Six Underrated Tools in Hugging Face Ecosystem for ML Efficiency
Recent articles shed light on lesser-known features of Hugging Face, highlighting six underrated tools that can improve workflows
Hugging Face Integrates TruffleHog for Enhanced Secret Scanning in Code Repositories
Partnership between Hugging Face and TruffleHog aims to combat secret leakage, enhancing security measures for users. The collabor
Hugging Face Releases Accelerate 1.0.0: Major Update for Large-Scale PyTorch Training
The new version brings support for multiple hardware accelerators, improved performance, and enhanced usability to the popular ope
Hugging Face Introduces Powerful SQL Console for Data Analysis
New SQL Console feature allows users to query and analyze datasets directly in their web browser, leveraging DuckDB WASM technolog
Hugging Face Optimizes Parquet Storage for Cost Savings on Hub Platform
Leading AI provider Hugging Face improves Parquet deduplication to save costs on its large-scale dataset storage, with potential i
Intel Labs and Hugging Face Develop Dynamic Speculative Decoding for Faster Text Generation
A new method, called dynamic speculative decoding, can speed up text generation by up to 2.7x. It's now the default operational mo
Efficiently Scaling AI Data Processing with Hugging Face and Dask
Researchers demonstrate a workflow to process large datasets using Hugging Face models and Dask's distributed computing capabiliti
Hugging Face Deploys Speech-to-Speech Technology on Inference Endpoints Platform
Learn about Hugging Face's new speech-to-speech pipeline, a versatile tool for developers working on voice applications. The platf
Outlines-core v0.1.0: Collaborative Library Boosts Structured Generation for Rust and Python
A new version of Outlines-core, a collaboration between Hugging Face and dottxt, offers improved performance, portability, and sep
Hugging Face Releases Transformers.js v3: Faster Inference with WebGPU
The latest version of Transformers.js, a JavaScript library for machine learning, brings significant improvements in speed and com
Hugging Face and Protect AI Partner to Boost Model Security for ML Community
Hugging Face integrates Guardian, a tool developed by Protect AI, into its scanner suite to detect potential security threats in s
Google DeepMind Launches SynthID Text for Watermarking AI-Generated Text
Google's new SynthID Text technology aims to combat misinformation and misattribution by enabling watermarking and detection of AI
Intel Labs and Hugging Face Introduce Universal Assisted Generation for Efficient Text Generation
The new UAG method enables assisted generation to work with any pair of target and assistant models, accelerating inference by up
Argilla 2.4: Import Datasets from Hugging Face Hub Without Coding
Argilla's new feature simplifies dataset creation for AI projects by allowing users to import datasets directly from the Hugging F
Hugging Face and JetBrains Integrate AI Tools into PyCharm IDE
The collaboration between Hugging Face and JetBrains simplifies machine learning workflows by providing an intuitive interface for
Open Japanese LLM Leaderboard Launched for Improved AI Tools in Adult Industry
A new platform evaluates large-scale language models used in Japanese AI applications, benefiting the adult industry with enhanced